Karl Hedrick

University of California System, University of California, Berkeley

Papers

Total Citations

155

H-Index

About

Karl Hedrick’s research lies at the intersection of autonomous systems, optimal control, and bio-inspired robotics, with a particular focus on unmanned aerial vehicles (UAVs). His most influential work, “Optimal path planning in a constant wind with a bounded turning rate” (2005, 137 citations), provides a foundational framework for generating time-optimal trajectories for aircraft under realistic aerodynamic constraints—a critical contribution to autonomous navigation. Hedrick also led the development of an integrated hardware-software platform for cooperative UAV teams, enabling single-user control of multiple aircraft for surveillance and tracking missions (2011, 16 citations). On the bio-inspired side, his doctoral dissertation on the Berkeley Micromechanical Flying Insect project (2004) advanced the system modeling and flight control of flapping-wing micro air vehicles, tackling the immense challenges of hover stability at insect scale. Though early in its citation impact, this work represents a bold step toward autonomous robotic insects. Across his career, Hedrick has demonstrated a rare ability to bridge theoretical optimal control with practical, field-deployable robotic systems, making him a key figure in the evolution of autonomous aerial robotics.